Characterization of resistance in vitro to different antimicrobial in strains of Staphylococcus spp. in a hospital of the city of Valledupar between January and July 2009

The Staphylococcus spp. they can cause a wide range of infections systemic and located in community and hospital patients. Its high pathogenicity and growing resistance to multiple antimicrobials including methicillin, causes high morbiditymortality rates, causing a high epidemiological impact. Objective: to determine the phenotypic profile of resistance to different antimicrobials in strains of the genus Staphylococcus spp. Materials and methods: collected 75 strains and determined them susceptibility to different antibiotics by the Kirby-Bauer method. The production of betalactamasecheck using the nitrocefin test. (Resistance to Methicillin in S. aureus was conductedusing Mueller Hinton with 4% NaCl and oxacillin 6 μg/mL). Inducible clindamycin resistance tamizo by D-Test test. Results: they were isolated by 38% of staphylococcus coagulase negative (SNA) and 62% of S. aureus. 53% were penicillin resistant staphylococci: S. aureus with 58% and 42% SNA. 47% of the strains showed resistance to methicillin: S. aureus with 61% and SNA with 39%. A strain of S. aureus showed inducible resistance to clindamycin (1.33%). Coagulase negative staphylococci were isolated mostly from blood samples (31%), blood (29%), tip of catheter (5%) and came mostly from neonatal ICU (25%), medical (21%) and surgery (16%).Conclusions: S. aureus and SNA were isolated with greater frequency in blood and wounds from surgery and neonatal ICU. The predominant resistance phenotypes were penicillin and oxacillin.

Functional studies of the deubiquitinating enzymes USP19, USP4 and UCH-L1

El marcaje de proteínas con ubiquitina, conocido como ubiquitinación, cumple diferentes funciones que incluyen la regulación de varios procesos celulares, tales como: la degradación de proteínas por medio del proteosoma, la reparación del ADN, la señalización mediada por receptores de membrana, y la endocitosis, entre otras (1). Las moléculas de ubiquitina pueden ser removidas de sus sustratos gracias a la acción de un gran grupo de proteasas, llamadas enzimas deubiquitinizantes (DUBs) (2). Las DUBs son esenciales para la manutención de la homeostasis de la ubiquitina y para la regulación del estado de ubiquitinación de diferentes sustratos. El gran número y la diversidad de DUBs descritas refleja tanto su especificidad como su utilización para regular un amplio espectro de sustratos y vías celulares. Aunque muchas DUBs han sido estudiadas a profundidad, actualmente se desconocen los sustratos y las funciones biológicas de la mayoría de ellas. En este trabajo se investigaron las funciones de las DUBs: USP19, USP4 y UCH-L1. Utilizando varias técnicas de biología molecular y celular se encontró que: i) USP19 es regulada por las ubiquitin ligasas SIAH1 y SIAH2 ii) USP19 es importante para regular HIF-1α, un factor de transcripción clave en la respuesta celular a hipoxia, iii) USP4 interactúa con el proteosoma, iv) La quimera mCherry-UCH-L1 reproduce parcialmente los fenotipos que nuestro grupo ha descrito previamente al usar otros constructos de la misma enzima, y v) UCH-L1 promueve la internalización de la bacteria Yersinia pseudotuberculosis.

Recognition of static and dynamic facial expressions: Influences of sex, type and intensity of emotion

Ecological validity of static and intense facial expressions in emotional recognition has been questioned. Recent studies have recommended the use of facial stimuli more compatible to the natural conditions of social interaction, which involves motion and variations in emotional intensity. In this study, we compared the recognition of static and dynamic facial expressions of happiness, fear, anger and sadness, presented in four emotional intensities (25 %, 50 %, 75 % and 100 %). Twenty volunteers (9 women and 11 men), aged between 19 and 31 years, took part in the study. The experiment consisted of two sessions in which participants had to identify the emotion of static (photographs) and dynamic (videos) displays of facial expressions on the computer screen. The mean accuracy was submitted to an Anova for repeated measures of model: 2 sexes x [2 conditions x 4 expressions x 4 intensities]. We observed an advantage for the recognition of dynamic expressions of happiness and fear compared to the static stimuli (p < .05). Analysis of interactions showed that expressions with intensity of 25 % were better recognized in the dynamic condition (p < .05). The addition of motion contributes to improve recognition especially in male participants (p < .05). We concluded that the effect of the motion varies as a function of the type of emotion, intensity of the expression and sex of the participant. These results support the hypothesis that dynamic stimuli have more ecological validity and are more appropriate to the research with emotions.